Huazhen Zhong

GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization

Graph Transformers (GTs), which integrate message passing and self-attention mechanisms simultaneously, have achieved promising empirical results in graph prediction tasks. However, the design of scalable and topology-aware node tokenization has lagged behind other modalities. This gap becomes criti